Meta's US settlement may set global precedent for platform accountability
Translated from Croatian and summarized by DistantNews. Read the original for the full story.
At a glance
- Meta has agreed to a $18 billion settlement with U.S. states, including restrictions on child users, such as time limits and a ban on nighttime use.
- While a victory for U.S. states, the settlement leaves more serious questions open regarding Meta's algorithmic accountability in other countries.
- Legal cases are proceeding in Kenya and the Netherlands, and the European Commission is investigating addictive platform features, suggesting the U.S. deal could serve as a precedent.
Meta's recent $18 billion settlement with U.S. states, while a significant win for the states, may only be the beginning of broader accountability for the social media giant. The agreement imposes restrictions on child users, including time limits and a ban on nighttime use, addressing some concerns about platform impact. However, the core issue of how Meta's algorithms decide what content billions of people see remains largely untouched by the U.S. deal. This central question is expected to fuel the biggest global battles for the tech giant's responsibility. Legal challenges are already mounting outside the U.S. In Kenya, a case brought by Abrham Meareg alleges that Facebook's algorithm promoted posts leading to his father's death. Similarly, the organization Repro Uncensored in the Netherlands accuses Meta of discriminating against queer user accounts. The European Commission is also scrutinizing features like infinite scrolling for their potential to foster compulsive use. These international proceedings, alongside the U.S. settlement, suggest a growing global demand for greater transparency and accountability from Meta, particularly concerning its algorithmic practices.
The company agreed to limit the use of its platforms for children, including time limits and a ban on nighttime use.
Originally published by Veฤernji List in Croatian. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.